Answer Only - Means

TEN QUESTIONS WITH EQUAL WEIGHT

QUESTION ONE

A random sample of 30 executives from companies with assets over 1 million was selected and asked for their annual income and level of education . The ANOVA comparing the average income among three levels of education rejected the null hypothesis . The Mean Square Error (MSE ) was 243 .7 . The following table summarized the results

1 . When comparing the mean salaries to test for differences between treatment means , the t statistic is based on

3 . Based on the comparison between the mean annual incomes for executives with Undergraduate and Master 's Degree or more

A ) A confidence interval shows that the mean annual incomes are not significantly different

B ) The ANOVA results show that the mean annual incomes are significantly different

C ) A confidence interval shows that the mean annual incomes are significantly different

D ) The ANOVA results show that the mean annual incomes are not significantly different

4 . When comparing the mean annual incomes for executives with a High School education or less and Undergraduate Degree , the 95 confidence interval shows an interval of 11 .7 to 42 .7 for the difference . This result indicates that

A ) There is no significant difference between the two incomes

B ) The interval contains a difference of zero

C ) Executives with and Undergraduate Degree earn significantly more than executives with a High School education or less

D ) Executives with and Undergraduate Degree earn significantly less than executives with a High School education or less

QUESTION TWO

A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales To verify this believe , the following data was collected

5 . What is the value of the coefficient of determination

A ) 9 .3104

B ) 0 .9754

C ) 0 .6319

D ) 0 .9513

6 . The 95 confidence interval for 30 calls is

A ) 55 .8 , 51 .5

B ) 51 .4 , 55 .9

C ) 46 .7 , 60 .6

D ) 31 .1 , 76 .2

7 . What is the regression equation

A ) Y 2 .1946 - 12 .201X

B ) Y -12 .201 2 .1946X

C ) Y 12 .201 2 .1946X

D ) Y 2 .1946 12 .201X

QUESTION THREE

The table below shows the sales for a plastics manufacturer recorded over the past year . The seasonal indexes for each quarter are also provided . To track the trend for these four quarters , use the indexes to deseasonalize the sales data